Collection
Role of Deep Learning Models & Analytics in Industrial Multimedia Environment
- Submission status
- Closed
This is a Special Issue on: Role of Deep Learning Models & Analytics in Industrial Multimedia Environment.
The Guest Editors are: Nawab Muhammad Faseeh Qureshi, Ali Kashif Bashir, Varun G Menon, Shahid Mumtaz, and Irfan Mehmood.
Submission Guidelines: Authors should prepare their manuscript according to the Instructions for Authors available from the Multimedia Systems website. Authors should submit through the online submission site at Multimedia Systems and select “Role of Deep Learning Models & Analytics in Industrial Multimedia Environment" when they reach the “Article Type” step in the submission process. Submitted papers should present original, unpublished work, relevant to the topics of the special issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least three independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process. Final decisions on all papers are made by the Editor in Chief.
Articles (12 in this collection)
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A computer-aided speech analytics approach for pronunciation feedback using deep feature clustering
Authors (first, second and last of 4)
- Faria Nazir
- Muhammad Nadeem Majeed
- Muazzam Maqsood
- Content type: Special Issue Paper
- Published: 19 July 2021
- Pages: 1699 - 1715
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Adaptively feature matching via joint transformational-spatial clustering
Authors (first, second and last of 5)
- Linbo Wang
- Li Tan
- Shaohua Wan
- Content type: Special Issue Paper
- Published: 10 June 2021
- Pages: 1717 - 1727
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Medical image-based detection of COVID-19 using Deep Convolution Neural Networks
Authors (first, second and last of 5)
- Loveleen Gaur
- Ujwal Bhatia
- Mehedi Masud
- Content type: Special Issue Paper
- Published: 28 April 2021
- Pages: 1729 - 1738
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3D shallow deep neural network for fast and precise segmentation of left atrium
Authors (first, second and last of 4)
- Asma Kausar
- Imran Razzak
- Amin Beheshti
- Content type: Special Issue Paper
- Published: 27 March 2021
- Pages: 1739 - 1749
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A graph-based CNN-LSTM stock price prediction algorithm with leading indicators
Authors (first, second and last of 5)
- Jimmy Ming-Tai Wu
- Zhongcui Li
- Jerry Chun-Wei Lin
- Content type: Special Issue Paper
- Open Access
- Published: 22 February 2021
- Pages: 1751 - 1770
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Pose-guided feature region-based fusion network for occluded person re-identification
Authors (first, second and last of 7)
- Gengsheng Xie
- Xianbin Wen
- Minghao Li
- Content type: Special Issue Paper
- Published: 14 February 2021
- Pages: 1771 - 1783
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Application of machine learning in ocean data
Authors (first, second and last of 5)
- Ranran Lou
- Zhihan Lv
- Xinfang Li
- Content type: Special Issue Paper
- Published: 14 February 2021
- Pages: 1815 - 1824
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Leveraging crowd knowledge to curate documentation for agile software industry using deep learning and expert ranking
Authors
- Akshi Kumar
- Content type: Special Issue Paper
- Published: 25 January 2021
- Pages: 1799 - 1813
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MADP-IIME: malware attack detection protocol in IoT-enabled industrial multimedia environment using machine learning approach
Authors (first, second and last of 6)
- Sumit Pundir
- Mohammad S. Obaidat
- Joel J. P. C. Rodrigues
- Content type: Special Issue Paper
- Published: 19 January 2021
- Pages: 1785 - 1797
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A novel category detection of social media reviews in the restaurant industry
Authors (first, second and last of 4)
- Mohib Ullah Khan
- Abdul Rehman Javed
- Usman Tariq
- Content type: Special Issue Paper
- Published: 24 October 2020
- Pages: 1825 - 1838
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Cyberbullying detection solutions based on deep learning architectures
Authors (first, second and last of 4)
- Celestine Iwendi
- Gautam Srivastava
- Praveen Kumar Reddy Maddikunta
- Content type: Special Issue Paper
- Published: 13 October 2020
- Pages: 1839 - 1852